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How Commoditization Eats the Chassis and Software Captures the Margin

The car industry is not just going electric. It is being reclassified.

For more than a century, automakers won by mastering the physical machine: engines, transmissions, chassis, manufacturing quality, and brand trust. But the electric vehicle transition has quietly changed the basis of competition. The physical car still matters, but it is no longer where the most strategic value is accumulating.

The new battlefield is the intelligence layer: the operating system, the assisted-driving stack, the digital cockpit, the data feedback loop, and the software that decides how the product improves after it leaves the factory.

That shift is forcing automakers into a brutal choice.

Some are outsourcing their digital brains to move faster. Others are spending billions to keep their software proprietary. The difference between those two strategies may decide who remains a product company and who becomes a hardware wrapper.

Some layers are once difficult, expensive, and strategically powerful. Over time, they become standardized, accessible, and cheaper. That is commoditization.

When a layer commoditizes, the profit pool does not vanish. It migrates to the next layer that is still scarce, complex, and strategically important. That new layer becomes the differentiator.

The product leader’s job is to know which layer is losing power and which layer is gaining it.

In automotive, the internal combustion engine used to be the defining layer. It shaped brand identity, performance, maintenance, and customer loyalty. But in electric vehicles, batteries and motors are becoming more standardized. They are still hard to manufacture well, but they are less able to create lasting differentiation on their own.

The new differentiator is software intelligence.

The car is becoming a physical platform that hosts a continuously improving digital system. That means the most important question is no longer: “Who built the car?”

It is: “Who owns the layer that gets smarter every time the car is used?”

The most important automotive story is not simply that Chinese technology companies are gaining power. That is true, but it is not the deeper pattern.

The deeper pattern is that Western automakers are increasingly buying the future operating model of the car industry from external software and technology suppliers.

Toyota’s China-market bZ7 is a striking example. The Toyota badge remains on the car, but much of the experience is powered by external Chinese technology partners. Huawei contributes the cockpit and electric drive technology. Xiaomi connects the vehicle into a broader smart-home ecosystem. Momenta provides advanced assisted-driving capabilities.

From the customer’s perspective, the daily experience is increasingly shaped by the software stack, not by the badge on the hood.

That is the strategic danger.

If the partner owns the interface, the partner shapes the experience. If the partner owns the driving data, the partner improves the system. If the partner improves faster, the partner becomes the real control point in the ecosystem.

Volkswagen has taken a similarly pragmatic route. In China, it is partnering with XPeng to accelerate its local software-defined vehicle strategy. In the West, it has committed billions to Rivian to access zonal architecture and software capability. This may be rational. Volkswagen needs speed. Its internal software arm, CARIAD, struggled with delays and complexity. But the strategic implication is clear: the company is buying back relevance from players that move faster in software.

BMW is taking the opposite bet.

Instead of outsourcing the intelligence layer, BMW is trying to protect it. Its Neue Klasse architecture is built around centralized computing systems, including the “Heart of Joy,” an in-house control system designed to preserve BMW’s driving dynamics as a proprietary differentiator.

This is not just an engineering preference. It is a product strategy.

BMW is effectively saying: if driving feel becomes software-defined, then outsourcing that software means outsourcing the soul of the brand.

Strategic Camp

What They Do

Example

Main Risk

Wrappers

Outsource the intelligence layer to move faster

Toyota in China, parts of VW strategy

Lose control of the user experience

Ecosystem Providers

Own the software, data, and learning loop

Huawei, Xiaomi, XPeng, Rivian

Must prove reliability at massive scale

In-House Believer

Build and protect proprietary intelligence

BMW

High cost, slower iteration, execution risk

The most powerful company in a value chain is not always the one that sells the final product.

It is often the one that controls the layer everyone else depends on.

That is stack capture.

In software-defined vehicles, the capture point is the intelligence layer. This includes ADAS, autonomy, cockpit systems, operating systems, data pipelines, and over-the-air update infrastructure.

Huawei’s automotive strategy shows this clearly. The company does not need to manufacture cars to become powerful in automotive. It can supply the systems that make cars feel intelligent, collect driving data, improve assisted-driving models, and create dependence across multiple OEMs.

That is a more scalable position than building every car itself.

Every vehicle using the stack generates data. Every kilometer improves the model. Every improvement makes the stack more attractive to other automakers. Every new automaker adds more vehicles. The flywheel compounds.

The supplier becomes stronger every time the OEM’s customer uses the product.

The automotive example is dramatic, but the pattern applies far beyond cars.

Every company now faces a similar question: which parts of our product are becoming commodities, and which parts are becoming strategic control points?

This matters because outsourcing is not automatically bad. In fact, strong product companies should outsource commodity layers aggressively. They should not waste resources rebuilding infrastructure that no longer differentiates them.

But they must be extremely careful when outsourcing layers that shape the user experience, capture proprietary data, or improve through feedback loops.

That is where the danger lives.

The wrong build-versus-buy decision can quietly move the company out of the value pool.

The global car may be dying.

Software-defined vehicles are not just products. They are rolling sensor networks. They collect location data, driving behavior, camera inputs, infrastructure signals, and system telemetry. That turns the car from a mechanical export into a geopolitical object.

This creates a new product constraint: software localization.

The United States is moving to restrict connected vehicle technology linked to China and other foreign adversaries. China is enforcing strict data sovereignty rules that limit how vehicle data can leave the country. The result is a fragmented software world where automakers can no longer assume that one global architecture will work everywhere.

Volkswagen’s East-West software strategy reflects this reality. One stack for China. Another for the West. Different partners. Different rules. Different data environments.

That destroys one of the old advantages of global automotive scale.

For product leaders, this is the overlooked lesson: the more your product depends on intelligence, data, and connectivity, the more regulation becomes part of the architecture.

You do not add compliance at the end. You design around regulatory borders from the beginning.

Product Questions to Ask

  1. Which layer of our product stack is actively commoditizing right now?

  2. Which layer is becoming the new source of margin, data, and user control?

  3. Are we treating a future differentiator as a vendor-supplied feature?

  4. If we outsource our intelligence layer, what prevents the supplier from eventually replacing us?

  5. What proprietary data are we surrendering to solve a short-term delivery bottleneck?

  6. If cross-border data transfer became impossible tomorrow, how would our product architecture need to change?

The Reusable Principle

Never outsource the layer of your product that defines the user experience and captures the compounding data loop.

15 years navigating corporate complexity. An entrepreneur's instinct for what matters. The AI fluency to build it. Let's work together →

For more details and sources you can look at our Deep Dive.

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